Introduction

For the making of this report, it was given a dataset with data of pacients of the Hospital Austral who had suffered from heart diseases and where treated there with a surgery or an angioplasty. So, the goal of this report is trying to predict the neccesary intervention a future pacient may need.

Analysis

In this section, we are going to analyze the different factors and variables that may be used to take into account in the predictor.

Percentage of Men and Women and age distribution for each one

Given the dataset, we thought it was imperative to start analyzing the percentage of men and women present in the registry. Even though, the difference of sex do not tend to be a factor primarily to take into account in the predictor, it could be good to show the difference and see whether we have to use it.

On the other hand, it could be relevant to check and analyze the difference of age between men and women. With this density graph, it is easy to contrast the age and each sex.

Age for COPD, Obesity, Diabetes and Dialysis

Percentage of people who go for angioplasty, surgery or endovalvula

Percentage of reasons of admission per procedure

Interpretation

We interpretate the graphs with crossed variables

Number of pacients with factors of risk

Male

Female

Number of pacients going to each procedure by age range

Pacients with each factor going to each procedure

Team

Ignacio Fernandez Battolla

Ignacio Chalub

Segundo Marcaida

Mateo Valle

Federico Pochat